Prognostic significance of the estimated pulse wave velocity in critically ill patients with coronary heart disease: analysis from the MIMIC­IV database.

BACKGROUND: There are currently no specialized risk-scoring systems for critically ill patients with coronary heart disease (CHD). Arterial stiffness, as measured by estimated pulse wave velocity (ePWV), has emerged as a potential indicator of mortality or adverse cardiovascular events in individuals with CHD. This study aimed to evaluate the association between ePWV and all-cause mortality among critically ill patients with CHD beyond traditional risk scores. METHODS: This study included 11 001 participants with CHD from the Medical Information Mart for Intensive Care IV, with a one-year follow-up. The primary endpoint was one-year all-cause mortality, and the secondary endpoint was in-hospital mortality. RESULTS: Elevated ePWV was significantly associated with higher risks of in-hospital (OR 1.15, 95% CI 1.12-1.17, p < 0.001) and one-year (HR 1.21, 95% CI 1.20-1.23, p < 0.001) mortality. These associations remained consistent when adjusted for traditional risk scores and potential confounders. When ePWV was integrated into traditional risk scoring models (OASIS, SOFA score, APSIII, SIRS score, SAPS II, and LODS score), the predictive accuracy (area under the curve: 64.55 to 70.56, 64.32 to 72.51, 72.35 to 75.80, 55.58 to 67.68, 71.27 to 73.53, 67.24 to 73.40, p < 0.001) and reclassification (net reclassification index: 0.230, 0.268, 0.257, 0.255, 0.221, 0.254; integrated discrimination improvement: 0.049, 0.072, 0.054, 0.068, 0.037, 0.061, p < 0.001) of these models significantly improved for one-year mortality. Similar results were also found for in-hospital mortality. CONCLUSIONS: ePWV is a strong independent predictor of both short- and long-term mortality in critically ill patients with CHD. Importantly, integrating ePWV into traditional risk scores significantly boosts the predictive accuracy for one-year and in-hospital all-cause mortality.

Association between serum Klotho levels and estimated pulse wave velocity in postmenopausal women: a cross-sectional study of NHANES 2007-2016.

Background: Postmenopausal women are at an increased risk of arterial stiffness, which can be assessed using estimated pulse wave velocity (ePWV). This study aimed to investigate the relationship between serum klotho levels and ePWV in postmenopausal women. Methods: This cross-sectional study used data from postmenopausal women who participated in the National Health and Nutrition Examination Survey (NHANES) between 2007 and 2016. Participants were divided into two groups based on the presence of hypertension. Weighted multivariate linear regression was used to analyze the relationship between serum Klotho levels and ePWV in each group. Restricted cubic spline models with multivariable adjustments were employed to examine nonlinear associations within each group. Results: Our analysis included 4,468 postmenopausal women from the NHANES database, with 1,671 in the non-hypertensive group and 2,797 in the hypertensive group. In all regression models, serum Klotho (ln-transformed) levels were significantly and independently negatively correlated with ePWV in the non-hypertensive group. After fully adjusting for confounders, a 1-unit increase in ln(Klotho) was associated with a 0.13 m/s decrease in ePWV (ß = -0.13, 95% CI -0.23 to -0.03; p = 0.008). Additionally, in the fully adjusted model, participants in the highest quartile of ln(Klotho) had an ePWV value 0.14 m/s lower than those in the lowest quartile (p for trend = 0.017; 95% CI -0.23 to -0.05; p = 0.002). This negative correlation was consistent across subgroups and was particularly significant among women aged < 60 years, nonsmokers, and non-Hispanic Black women. However, no association was observed between serum Klotho levels and ePWV in the hypertensive group. Conclusion: Hypertension may affect the relationship between serum Klotho level and ePWV in postmenopausal women. Increased serum Klotho levels may reduce arterial stiffness in postmenopausal women. Further studies are required to confirm these findings.

Association between estimated pulse wave velocity and in-hospital and one-year mortality of patients with chronic kidney disease and atherosclerotic heart disease: a retrospective cohort analysis of the MIMIC-IV database.

BACKGROUND: Carotid-femoral pulse wave velocity has been identified as an autonomous predictor of cardiovascular mortality and kidney injury. This important clinical parameter can be non-invasively estimated using the calculated pulse wave velocity (ePWV). The objective of this study was to examine the correlation between ePWV and in-hospital as well as one-year mortality among critically ill patients with chronic kidney disease (CKD) and atherosclerotic heart disease (ASHD). METHODS: This study included a cohort of 1173 patients diagnosed with both CKD and ASHD, sourced from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. The four groups divided into quartiles according to ePWV were compared using a Kaplan-Meier survival curve to assess variations in survival rates. Cox proportional hazards models were employed to analyze the correlation between ePWV and in-hospital as well as one-year mortality among critically ill patients with both CKD and ASHD. To further investigate the dose-response relationship, a restricted cubic splines (RCS) model was utilized. Additionally, stratification analyses were performed to examine the impact of ePWV on hospital and one-year mortality across different subgroups. RESULTS: The survival analysis results revealed a negative correlation between higher ePWV and survival rate. After adjusting for confounding factors, higher ePWV level (ePWV > 11.90 m/s) exhibited a statistically significant association with an increased risk of both in-hospital and one-year mortality among patients diagnosed with both CKD and ASHD (HR = 4.72, 95% CI = 3.01-7.39, p < 0.001; HR = 2.04, 95% CI = 1.31-3.19, p = 0.002). The analysis incorporating an RCS model confirmed a linear escalation in the risk of both in-hospital and one-year mortality with rising ePWV values (P for nonlinearity = 0.619; P for nonlinearity = 0.267). CONCLUSIONS: The ePWV may be a potential marker for the in-hospital and one-year mortality assessment of CKD with ASHD, and elevated ePWV was strongly correlated with an elevated mortality risk in patients diagnosed with both CKD and ASHD.

Association between estimation of pulse wave velocity and all-cause mortality in critically ill patients with non-traumatic subarachnoid hemorrhage: an analysis based on the MIMIC-IV database.

Background: Estimated pulse wave velocity (ePWV), which measures vascular aging, is an independent predictor of cardiovascular death. Nevertheless, the relationship between ePWV and all-cause mortality among patients suffering from non-traumatic subarachnoid hemorrhages (NSAH) remains obscure. Consequently, the objective of this study is to ascertain whether ePWV exerts influence on the prognosis of individuals afflicted with NSAH. Methods: Through the Medical Information Mart for Intensive Care IV (MIMIC-IV) database, 644 eligible participants were included. The Kaplan-Meier survival curve method was employed to assess the disparity in survival status between the low and high ePWV cohorts. The Cox proportional hazard model was employed to investigate the association between ePWV and inpatient mortality among critically ill patients diagnosed with NSAH. The Restricted Cubic Spline (RCS) model was employed to examine the dose-response correlation. Subsequently, multivariate Cox regression analysis was performed to identify independent prognostic factors. Lastly, the impact of ePWV on inpatient mortality across various subgroups was evaluated through stratified analysis. Results: Participants were categorized into two groups, delineated by their ePWV levels: a low ePWV level group and a high ePWV level group. Survival analysis unveiled that individuals with high ePWV exhibited a diminished survival rate compared to their counterparts with low ePWV. Following adjustment, low ePWV was significantly linked with a reduced risk of inpatient mortality among patients with NSAH (HR = 0.54, 95% CI = 0.32-0.89, p = 0.016). Simultaneously, analysis employing the RCS model further substantiated a linear escalation in the risk of inpatient mortality with increasing ePWV values. Conclusion: Elevated ePWV levels have been identified as an independent risk factor for the rise in inpatient mortality among NSAH patients and as a significant predictor of the clinical outcome of NSAH.

Association between the oxidative balance score and estimated pulse wave velocity from the National Health and Nutrition Examination Survey (2005-2018).

BACKGROUND: No research report has been conducted to investigate the impact of oxidation balance score (OBS) on the estimated pulse wave velocity(ePWV).We aimed to examine the association between OBS and ePWV. METHOD: We evaluated data for 13,073 patients from the National Health and Nutrition Examination Survey (NHANES). The exposure variable was OBS. The outcome variables was combination of ePWV and arterial stiffness. RESULTS: We observed a significant negative correlation between OBS (Per 1SD increase) and ePWV in the gradually adjusted models. Based on the aforementioned results, a two-piecewise logistic regression adjusted model was subsequently employed to establish the association between OBS and elevated ePWV, and the inflection point was determined as 5. The increased risk of elevated ePWV (OR:0.70; 95%CI:0.51-0.94) gradually decreases with the increase of OBS on the left side of the inflection point; however, when OBS exceeds 5, this decrease in risk of elevated ePWV(OR:1.00; 95%CI:0.96-1.04) is no longer observed (P for log likelihood ratio test = 0.028). CONCLUSIONS: There exists a significant association between OBS and ePWV in the context of American adults. Specifically, OBS exhibits a negative correlation with ePWV; however, when considering an elevated ePWV, a saturation effect is observed in relation to OBS.

Estimated Pulse-Wave Velocity and Magnetic Resonance Imaging Markers of Cerebral Small-Vessel Disease in the NOMAS.

BACKGROUND: Pulse-wave velocity is a measure of arterial stiffness and a risk factor for cardiovascular disease. Recently, an estimated pulse-wave velocity (ePWV) was introduced that was predictive of increased risk of cardiovascular disease. Our objective was to determine whether ePWV was associated with cerebral small-vessel disease on magnetic resonance imaging. METHODS AND RESULTS: We included 1257 participants from the NOMAS (Northern Manhattan Study). The ePWV values were calculated using a nonlinear function of age and mean arterial blood pressure. The association between ePWV and white matter hyperintensity volume was assessed. Modification by race and ethnicity was evaluated. Associations between ePWV and other cerebral small-vessel disease markers, covert brain infarcts, cerebral microbleeds, and enlarged perivascular spaces, were explored as secondary outcomes. Mean±SD age of the cohort was 64±8 years; 61% were women; 18% self-identified as non-Hispanic Black, 67% as Hispanic, and 15% as non-Hispanic White individuals. Mean±SD ePWV was 11±2 m/s in the total NOMAS population and was similar across race and ethnic groups. The ePWV was significantly associated with white matter hyperintensity volume (ß=0.23 [95% CI, 0.20-0.26]) after adjustment. Race and ethnicity modified the association between ePWV and white matter hyperintensity volume, with stronger associations in Hispanic and non-Hispanic Black individuals. Significant associations were found between ePWV and covert brain infarcts, cerebral microbleeds, and perivascular spaces after adjustment. CONCLUSIONS: The ePWV function may provide a vascular mechanism for deleterious cerebrovascular outcomes in individuals with cerebral small-vessel disease and is particularly apparent in the racial and ethnic minorities represented in the NOMAS cohort.

Association of estimated pulse wave velocity with cognitive function in a multiethnic diverse population: The Northern Manhattan Study.

INTRODUCTION: Arterial stiffness is linked to age-related cognitive dysfunction. Estimated pulse wave velocity (ePWV) is associated with cerebrovascular disease. We sought to determine whether ePWV was associated with cognition in a multiethnic population. METHODS: We included 1257 participants enrolled in a Northern Manhattan Study magnetic resonance imaging MRI-cognitive study (mean age 64 ± 8 years, 61% women, 67% Hispanic, 18% non-Hispanic Black, 15% non-Hispanic white) and analyzed cognitive performance at two time points, at enrollment and on an average 5.0 ± 0.6 years later. ePWV was calculated using baseline age and blood pressure. Cognition and cognitive change scores were regressed on ePWV in multivariable linear regression models. RESULTS: In adjusted models, ePWV (mean 11 ± 2 m/s) was significantly associated with cognition (b = -0.100, 95% CI, -0.120, -0.080) and cognitive change over time (b = -0.063, 95% CI, -0.082, -0.045). Effect modification by race and sex was found. DISCUSSION: In this multiethnic population, the associations of ePWV with cognitive performance underline the role of vascular stiffness in age-related cognitive decline. HIGHLIGHTS: ePWV is a modest but independent predictor of cognitive function and cognitive decline among older individuals. After adjustment, the ePWV measure was inversely associated with performance and decline in global cognition, processing speed, episodic memory, executive function, and semantic memory. After adjustment, modification of the association between ePWV and change in episodic memory and executive function by race and ethnicity was suggested by a significant interaction term. The association between ePWV and episodic memory decline was stronger in females.

Estimated Pulse Wave Velocity and All-Cause and Cardiovascular Mortality in the General Population.

Background: Carotid-femoral pulse wave velocity (cfPWV), acknowledged as a reliable proxy of arterial stiffness, is an independent predictor of cardiovascular (CV) events. Carotid-femoral PWV is considered the gold standard for the estimation of arterial stiffness. cfPWV is a demanding, time consuming and expensive method, and an estimated PWV (ePWV) has been suggested as an alternative method when cfPWV is not available. Our aim was to analyze the predictive role of ePWV for CV and all-cause mortality in the general population. Methods: In a stratified random sample of 1086 subjects from the general Croatian adult population (EH-UH study) (men 42.4%, average age 53 ± 16), subjects were followed for 17 years. ePWV was calculated using the following formula: ePWV = 9.587 - 0.402 × age + 4.560 × 10-3 × age2 - 2.621 × 10-5 × age2 × MBP + 3.176 × 10-3 × age × MBP - 1.832 × 10-2 × MBP. MBP= (DBP) + 0.4(SBP - DBP). Results: At the end of the follow-up period, there were 228 deaths (CV, stroke, cancer, dementia and degenerative diseases, COLD, and others 43.4%, 10.5%, 28.5%, 5.2%, 3.1%, 9.3%, respectively). In the third ePWV tercile, we observed more deaths due to CV disease than to cancer (20.5% vs. 51.04%). In a Cox regression analysis, for each increase in ePWV of 1 m/s, there was a 14% increase risk for CV death. In the subgroup of subjects with higher CV risk, we found ePWV to be a significant predictor of CV deaths (ePWV (m/s) CI 1.108; p < 0.029; HR 3.03, 95% CI 1.118-8.211). Conclusions: In subjects with high CV risk, ePWV was a significant and independent predictor of CV mortality.

Associations Between Estimated Pulse Wave Velocity and Five-Year All-Cause Mortality in Patients with Atherosclerotic Cardiovascular Disease with and without Standard Modifiable Risk Factors: Evidence From NHANES 1999-2016.

Aim: The study aimed to analyze the associations between estimated pulse wave velocity (ePWV) and 5-year mortality in atherosclerotic cardiovascular disease (ASCVD) patients with and without standard modifiable risk factors (SMuRFs), which included smoking status, hypertension, diabetes, and hypercholesterolemia. Methods: The present retrospective cohort study utilized data from the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2016. Patients with ASCVD who completed both the questionnaire survey and serum testing were included. Patients were categorized into the ≥1 SMuRF group if they had at least one SMuRF, while those without any SMuRFs were classified into the SMuRF-less group. The ePWV, which was calculated using the age and mean blood pressure, was evenly divided into three categories: low (Q1), medium (Q2), and high (Q3). Multivariable weighted Cox proportional-hazard regression analyses were utilized to explore the risk factors associated with 5-year mortality in patients with and without SMuRFs. And restricted cubic spline curve (RCS) was used to assess their nonlinear correlation. Results: A total of 1901 patients with ASCVD were included in the study. For the patients in ≥1 SMuRF group, the Q3 group included patients who were older, with a higher proportion of males, more comorbidities, and a lower body mass index than the Q1 group (P<0.05). The Cox proportional-hazard regression model results revealed, the Q3 group had a higher risk of 5-year mortality than the Q1 group [hazard ratio (HR) 4.30, 95% confidence interval (CI) (2.66, 6.95), P<0.001]. RCS demonstrated a linear trend between high level of ePWV and decreased risks of mortality. Similar results were observed in the SMuRF-less group [HR 10.62, 95% CI (1.22, 92.06), P=0.032]. Conclusion: A high level of ePWV signified a higher risk of 5-year mortality in ASCVD patients with and without SMuRFs.

Estimated pulse wave velocity predicts mortality in patients with heart failure with preserved ejection fraction.

OBJECTIVE: Estimated pulse wave velocity (ePWV), a newly established arterial stiffness (AS) parameter, predicts the development of cardiovascular disease (CVD) and death in the general population or in patients with CVD risk factors. However, whether ePWV is associated with adverse outcomes in heart failure with preserved ejection fraction (HFpEF) patients remains unknown. Our study aimed to evaluate the prognostic value of ePWV on clinical outcomes in HFpEF. METHODS AND RESULTS: We analyzed HFpEF participants from the Americas in the Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist (TOPCAT) trial with available baseline data (n = 1764). Cox proportional hazard model was used to explore the prognostic value of ePWV on long-term clinical outcomes (all-cause mortality, cardiovascular mortality, all-cause hospitalization, and heart failure hospitalization). Each ePWV increase by 1 m/s increased the risk for all-cause death by 16% (HR:1.16; 95% CI:1.10-1.23; P < 0.001) and CVD mortality by 13% (HR:1.13; 95% CI:1.04-1.21; P = 0.002) after adjusting for confounders. Patients were then grouped into 4 quartiles of ePWV. Our study indicated that the highest ePWV quartile (ePWV ≥ 12.806 m/s) was associated with increased risk of all-cause mortality (HR: 1.96; 95% CI: 1.43-2.69; P < 0.001) and CVD mortality (HR: 1.72; 95% CI: 1.16-2.56; P = 0.008) after adjusting for potential confounders. CONCLUSION: These results suggested ePWV is independently associated with increased all-cause mortality and CVD mortality in HFpEF patients, indicating ePWV is an appropriate predictor of prognosis in patients with HFpEF.

Estimated Pulse Wave Velocity as a Novel Non-Invasive Biomarker for Metabolic Syndrome Among People Living with HIV.

Purpose: This study aims to investigate the relationship between estimated pulse wave velocity (ePWV) and metabolic syndrome (MetS) in people living with HIV (PLWH), proposing a novel and convenient predictor for early detection of MetS in PLWH. Patients and Methods: A total of 485 PLWH were enrolled. These participants were categorized into two groups based on the estimated pulse wave velocity (ePWV) level. Demographic and clinical data were collected to investigate the correlation between ePWV and MetS. Results: The cohort of 485 PLWH was categorized into high-ePWV and low-ePWV groups based on ePWV cutoff value of 10 m/s. We observed significant differences in components of MetS including triglycerides (TG, P < 0.05), HDL cholesterol (HDL-C, P < 0.01), systolic blood pressure (SBP, P < 0.001), diastolic blood pressure (DBP, P < 0.05), and fasting plasma glucose (FPG, P < 0.001) between the two groups. Furthermore, we employed receiver operating characteristic (ROC) curves to demonstrate the effectiveness of ePWV as a predictive indicator for MetS in PLWH (AUC = 0.739, P < 0.001). According to the ROC curve, the optimal cut-off value of ePWV was 7.4 m/s, and its sensitivity and specificity in diagnosing MetS in PLWH were 79.03% and 64.07%, respectively. Although the 7.4 m/s cutoff increased the false positive rate compared to the traditional cutoff, it significantly reduced the rate of missed diagnoses, effectively identifying 79.03% of PLWH with MetS. Conclusion: ePWV is a non-invasive and convenient novel biomarker with predictive capabilities for MetS in PLWH.

Estimated pulse wave velocity and risk of new-onset heart failure.

AIMS: As a potential surrogate of carotid-femoral pulse wave velocity, estimated pulse wave velocity (ePWV) has been confirmed to independently predict the cardiovascular events, but the association between ePWV and heart failure has not been well confirmed. Therefore, we performed this cohort study to evaluate the association between ePWV and risk of new-onset heart failure. METHODS AND RESULTS: A total of 98 269 employees (mean age: 51.77 ± 12.56 years, male accounted for 79.9%) without prior heart failure who participated in the 2006-2007 health examination were selected as the observation cohort, with an average follow-up of 13.85 ± 1.40 years. Area under the receiver operator characteristic curve (AUC) of ePWV was calculated in prediction of heart failure. The adjusted Cox proportional hazard models were used to estimate hazard ratios and 95% confidence intervals. The category-free net reclassification index (NRI) was calculated to evaluate the reclassification performance of cardiovascular risk models after adding ePWV. The AUC of ePWV was 0.74 in prediction of heart failure. After adjusting for the traditional cardiovascular risk factors except for age and blood pressure, the risk of new-onset heart failure increased by 35% [hazard ratio (HR): 1.35, 95% confidence interval (CI): 1.33-1.37] for each 1 m/s increase in ePWV. Subgroup analysis showed that ePWV was significantly associated with incident heart failure regardless of THE presence (HR: 1.33, 95% CI: 1.31-1.36, P < 0.01) or absence (HR: 1.59, 95% CI: 1.46-1.73, P < 0.01) of cardiovascular risk factors, male (HR: 1.33, 95% CI: 1.31-1.36, P < 0.01) or female (HR: 1.44, 95% CI: 1.38-1.51, P < 0.01), young and middle-aged (<52 years) (HR: 1.50, 95% CI: 1.41-1.58, P < 0.01), or middle-aged and elderly (≥52 years) (HR: 1.23, 95% CI: 1.21-1.26, P < 0.01). The addition of ePWV to the traditional cardiovascular risk model including age and mean arterial pressure could significantly improve the reclassification ability by 31.1% (category-free NRI = 0.311, P < 0.01). CONCLUSIONS: ePWV was an independent predictor for new-onset heart failure.

Estimated Pulse Wave Velocity and Cognitive Outcomes: A Post hoc Analysis of SPRINT-MIND.

BACKGROUND: Arterial stiffness has been confirmed to be associated with cognitive impairment. Carotid-femoral pulse wave velocity (cfPWV) is widely regarded as the gold standard for assessing arterial stiffness, yet it is not readily accessible. In response, the use of estimated pulse wave velocity (ePWV) has been proposed as a more accessible and cost-effective alternative. ePWV not only offers ease of calculation but also covers a broader spectrum of vascular aging processes, some of which may be distinct from those detected by cfPWV. The aim of our study was to investigate the association between ePWV and cognitive outcomes in SPRINT-MIND (Systolic Blood Pressure Intervention Trial Memory and Cognition in Decreased Hypertension). METHODS: This study was a post hoc analysis of the SPRINT-MIND. The primary endpoint was a composite outcome including probable dementia and mild cognitive impairment (MCI). The calculation of ePWV was based on age and mean blood pressure. The association between ePWV and cognitive outcomes was assessed Using Cox regression analysis. The response of ePWV to antihypertensive treatment at 12 months was used to define treatment efficacy. RESULTS: 8,563 patients were enrolled. The ePWV was found to be independently associated with risk of probable dementia (Tertile 3 vs. Tertile 1: HR, 95% CI: 1.70, 1.08-2.68, P = 0.023, P for trend = 0.013), MCI (Tertile 3 vs. Tertile 1: HR, 95% CI: 2.35, 1.71-3.23, P < 0.001, P for trend < 0.001), and the composite outcome of probable dementia or MCI (Tertile 3 vs. Tertile 1: HR, 95% CI: 2.17, 1.65-2.86, P < 0.001, P for trend < 0.001). The combined effect of treatment allocation and the response of ePWV to treatment exhibited that intensive/ePWV responders had the lowest risk of the primary outcome (Log-rank P = 0.002). CONCLUSIONS: EPWV demonstrated independent predictive value for cognitive outcomes in SPRINT-MIND.

Superior predictive value of estimated pulse wave velocity for all-cause and cardiovascular disease mortality risk in U.S. general adults.

BACKGROUND: Estimated pulse wave velocity (ePWV) has been proposed as a potential approach to estimate carotid-femoral pulse wave velocity. However, the potential of ePWV in predicting all-cause mortality (ACM) and cardiovascular disease mortality (CVM) in the general population is unclear. METHODS: We conducted a prospective cohort study using the data of 33,930 adults (age ≥ 20 years) from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2014 until the end of December 2019. The study outcomes included ACM and CVM. Survey-weighted Cox proportional hazards models were used to assess hazard ratios (HRs) and 95% confidence intervals (CIs) to determine the association between ePWV and ACM and CVM. To further investigate whether ePWV was superior to traditional risk factors in predicting ACM and CVM, comparisons between ePWV and the Framingham Risk Score (FRS) and Pooled Cohort Equations (PCE) models were performed. Integrated Discriminant Improvement (IDI) and Net Reclassification Improvement (NRI) were employed to analyze differences in predictive ability between models. RESULTS: The weighted mean age of the 33,930 adults included was 45.2 years, and 50.28% of all participants were men. In the fully adjusted Cox regression model, each 1 m/s increase in ePWV was associated with 50% and 49% increases in the risk of ACM (HR 1.50; 95% CI, 1.45-1.54) and CVM (HR 1.49; 95% CI, 1.41-1.57), respectively. After adjusting for FRS, each 1 m/s increase in ePWV was still associated with 29% (HR 1.29; 95% CI, 1.24-1.34) and 34% (HR 1.34; 95% CI, 1.23-1.45) increases in the risk of ACM and CVM, respectively. The area under the curve (AUC) predicted by ePWV for 10-year ACM and CVM were 0.822 and 0.835, respectively. Compared with the FRS model, the ePWV model improved the predictive value of ACM and CVM by 5.1% and 3.8%, respectively, with no further improvement in event classification. In comparison with the PCE model, the ePWV model's ability to predict 10-year ACM and CVM was improved by 5.1% and 3.5%, and event classification improvement was improved by 34.5% and 37.4%. CONCLUSIONS: In the U.S. adults, ePWV is an independent risk factor for ACM and CVM and is independent of traditional risk factors. In the general population aged 20 to 85 years, ePWV has a robust predictive value for the risk of ACM and CVM, superior to the FRS and PCE models. The predictive power of ePWV likely originates from the traditional risk factors incorporated into its calculation, rather than from an indirect association with measured pulse wave velocity.

Association between estimated pulse wave velocity and in-hospital mortality of patients with acute kidney injury: a retrospective cohort analysis of the MIMIC-IV database.

BACKGROUND: Estimated pulse wave velocity (ePWV) has been found to be an independent predictor of cardiovascular mortality and kidney injury, which can be estimated noninvasively. This study aimed to investigate the association between ePWV and in-hospital mortality in critically ill patients with acute kidney injury (AKI). METHODS: This study included 5960 patients with AKI from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. The low and high ePWV groups were compared using a Kaplan-Meier survival curve to evaluate the differences in survival status. Cox proportional hazards models were used to explore the association between ePWV and in-hospital mortality in critically ill patients with AKI. To further examine the dose-response relationship, we used a restricted cubic spline (RCS) model. Stratification analyses were conducted to investigate the effect of ePWV on hospital mortality across various subgroups. RESULTS: Survival analysis indicated that patients with high ePWV had a lower survival rate than those with low ePWV. Following adjustment, high ePWV demonstrated a statistically significant association with an increased risk of in-hospital mortality among AKI patients (HR = 1.53, 95% CI = 1.36-1.71, p < 0.001). Analysis using the RCS model confirmed a linear increase in the risk of hospital mortality as the ePWV values increased (P for nonlinearity = 0.602). CONCLUSIONS: A high ePWV was significantly associated with an increased risk of in-hospital mortality among patients with AKI. Furthermore, ePWV was an independent predictor of in-hospital mortality in critically ill patients with AKI.

Estimated pulse wave velocity added additional prognostic information in general population: Evidence from National Health and Nutrition Examination Survey (NHANES) 1999-2018.

Background: As an indicator of arterial stiffness, there is controversy over whether estimated pulse wave velocity (ePWV) add additional prognostic information other than cardiovascular risk factors or traditional risk estimation model in general population. Methods: Data from National Health and Nutrition Examination Survey in 1999-2018 was analyzed. Cardiovascular risk factors were collected and Framingham Risk Score (FRS) was calculated. Using all-cause and cardiovascular mortality as outcomes, Cox and restricted cubic spline (RCS) analysis was performed. Receiver operator characteristic (ROC) curves, Harrell's C-statistic and net reclassification index (NRI) analysis were used to assess whether ePWV adds additional predictive value. Results: The association between ePWV and outcomes was independent of cardiovascular risk factors (HR = 1.23 [95%CI 1.23-1.50] per m/s for all-cause mortality, and 1.52 [1.30-1.78] for cardiovascular mortality) and FRS (1.22 [1.12-1.32] for all-cause mortality, and 1.32 [1.10-1.59] for cardiovascular mortality). Except for ePWV and all-cause mortality adjusted by FRS, a liner association was found between ePWV and outcomes. For predictive value, the area under ROC and C-index of the model added with ePWV was higher than the one with FRS or risk factors alone (P < 0.01). The elevated ePWV upgraded 1338456 subjects from high-intermediate to high FRS category, and NRI was 3.61 % and 2.62 % for all-cause and cardiovascular deaths, respectively (all P < 0.001). Conclusions: In general population, the present study demonstrated the association between ePWV and all-cause, cardiovascular mortality is independent of cardiovascular risk factors and traditional risk estimated model. ePWV also added additional information to them in predicting clinical outcomes.

Estimated Pulse Wave Velocity Predicts All-Cause and Cardiovascular-Cause Mortality in Individuals With Hypertension　- Findings From a National Health and Nutrition Examination Study 1999-2018.

BACKGROUND: This study aimed to investigate the association between estimated pulse wave velocity (ePWV) and mortality outcomes among individuals with hypertension. METHODS AND RESULTS: Based on the National Health and Nutrition Examination Survey (NHANES) 1999-2018, a total of 14,396 eligible participants with hypertension were enrolled. The ePWV was calculated using the equation based on blood pressure and age. The mortality outcomes of included participants were directly acquired from the National Death Index database. The multivariable Cox regression analysis was used to examine the relationship between ePWV and mortality outcomes. Moreover, the restricted cubic spline (RCS) was also used to explore this relationship. Receiver operating characteristics curves (ROC) were adopted to evaluate the prognostic ability of ePWV for predicting mortality outcomes of patients with hypertension. The median follow-up duration was 10.8 years; individuals with higher an ePWV had higher risks of mortality from both all causes (HR: 2.79, 95% CI: 2.43-3.20) and cardiovascular diseases (HR: 3.41, 95% CI: 2.50-4.64). After adjusting for confounding factors, each 1 m/s increase in ePWV was associated with a 43% increase in all-cause mortality risk (HR: 1.43, 95% CI: 1.37-1.48) and a 54% increase in cardiovascular mortality risk (HR: 1.54, 95% CI: 1.43-1.66). CONCLUSIONS: This study indicates that ePWV is a novel prognostic indicator for predicting the risks of mortality among patients with hypertension.

A prognostic value of estimated pulse wave velocity in idiopathic sudden sensorineural hearing loss.

PURPOSE: Arterial stiffness, represented by estimated pulse wave velocity (ePWV), is the independent surrogate marker for cardiovascular event. The aim of the study was to investigate the significance of ePWV in the treatment outcome of idiopathic sudden sensorineural hearing loss (SSNHL). METHODS: One hundred and ten patients with idiopathic SSNHL who hospitalized between April 2019 and March 2022 were evaluated. Arterial stiffness was calculated with formula for ePWV and other cardiovascular parameters of body mass index (BMI), and serum lipid level was determined. All patients received systemic high-dose steroid therapy and intratympanic steroid injections as a salvage management. Treatment outcome was assessed at 6 months after treatment, and classified as recovery and nonrecovery groups according to hearing recovery. RESULTS: The initial pure-tone hearing threshold was 72.6 ± 23.8 dB and final hearing threshold was 52.63 ± 31.10 dB. After treatment, 60 (54.5%) patients included in recovery group and other 50 (45.5%) were classified as nonrecovery group. Age, days of onset to treatment, BMI, waist circumference, and ePWV were higher in the nonrecovery group compared to recovery group in univariate analysis (p = 0.039, p = 0.049, p = 0.003, p = 0.004, p = 0.007, respectively). In multivariate analysis, days of onset to treatment, BMI, and ePWV were associated with recovery (p = 0.030, p = 0.007, p = 0.022). CONCLUSION: Higher ePWV, a measure of arterial stiffness, was associated with a poor hearing recovery of SSNHL.

Association between estimated pulse wave velocity and all-cause death in patients with heart failure.

BACKGROUND: Arteriosclerosis has been proven to be a risk factor for the development of heart failure and readmission. ePWV is a novel non-invasive and simple indicator of arterial stiffness, and this study aims to investigate its relationship with all-cause mortality rate in patients with heart failure. METHODS: This study is a cohort study that included 1272 patients with heart failure from NHANES data from 1999 to 2018. The ePWV was divided into three groups, and the cumulative mortality rate of heart failure patients was calculated using KM survival curves. The relationship between ePWV and all-cause mortality rate in heart failure patients was represented by a smoothed curve fitting. COX regression analysis was used to assess the association between ePWV and all-cause mortality rate in heart failure patients. RESULTS: The average age of the study population was 67.8 ± 12.6 years, with 862 males and 650 females. During the 12-month follow-up period, there were 790 cases of all-cause mortality. Cox regression analysis was used to validate the relationship between ePWV and all-cause mortality rate in patients with heart failure. Patients with higher levels of ePWV tended to have a higher all-cause mortality rate. After adjustment for multiple factors, an increase in ePWV was positively associated with all-cause mortality rate (HR = 1.17, 95% confidence interval (CI): (1.12, 1.22)). Compared to the lowest tertile, the multivariable-adjusted HR and 95% CI for the highest tertile of ePWV were 1.81 (95% CI: (1.45, 2.27)). Additionally, a smoothed curve fitting was used to observe the relationship between ePWV and mortality rate, where the curve demonstrated a positive correlation between ePWV and all-cause mortality rate. Furthermore, KM survival curves indicated that all-cause mortality rate increased with the increase in ePWV. Subgroup analysis suggested a correlation between ePWV and mortality rate. CONCLUSION: Our study shows that ePWV is positively associated with all-cause mortality in patients with heart failure.

Individual and combined associations of estimated pulse wave velocity and systemic inflammation response index with risk of stroke in middle-aged and older Chinese adults: a prospective cohort study.

Background and aims: Estimated pulse wave velocity (ePWV) and systemic inflammatory response index (SIRI) have been recently investigated as a marker of arterial stiffness and a novel systemic inflammatory indicator. This study aims to examine the independent and combined association of ePWV and SIRI with incident stroke and its subtypes. Methods: Data of the Dongfeng-Tongji cohort study was analyzed for 9,154 middle-aged and older adults, who were free of cardiovascular disease and cancer and were followed up to document incident stroke. But their association with incident stroke events and its subtypes have not been well studied. Multivariable adjusted Cox regression models were used to determine the independent and combined association of ePWV and SIRI with incident stroke events. Results: Over a 7.22-year follow-up, the cohort documented 491 stroke cases (387 ischemic stroke and 104 hemorrhagic stroke). The multivariate adjusted model showed that with each one-unit increase in the level of ePWV, the corresponding hazard ratios (HRs) (95% CI) for total stroke, ischemic stroke, and hemorrhagic stroke were 1.53 (95% CI, 1.23-1.90), 1.42 (95% CI, 1.11-1.83), and 1.92 (95% CI, 1.21-3.03), respectively. Similarly, with each one-unit increase in log-transformed levels of SIRI, the corresponding HRs (95% CI) for total stroke, ischemic stroke, and hemorrhagic stroke were 1.23 (95% CI,1.04-1.47), 1.16 (95% CI, 0.96-1.41), and 1.52 (95% CI, 1.05-2.20), respectively. There appeared to be a combined effect of ePWV and SIRI on stroke; Participants with high levels of both ePWV and SIRI had a higher risk of total stroke and hemorrhagic stroke, with multiple adjusted HR of 2.43 (95% CI, 1.09-5.42). Additionally, the incorporation of ePWV in addition to traditional cardiovascular risk factors significantly improved the predictive accuracy for total stroke with C statistic increased from 0.684 (95% CI, 0.661-0.707) to 0.687 (95% CI, 0.664-0.710; x2 = 6.65; p for difference = 0.010), and (suggestively) for ischemic stroke with C statistic increased from 0.684 (95% CI, 0.659-0.71) to 0.691(95% CI, 0.666-0.717; x2 = 3.13, p for difference = 0.077), respectively. Conclusions: The presence of both high ePWV and SIRI individually, as well as together, was found to be associated with an increased incidence of stroke. The combined stroke risk assessment using these two indicators could potentially improve non-invasive assessment and treatment strategies for high-risk patients, as these indicators are easily accessible in clinical practice.